fix: add old Data to Message name to metadata to improve search (#6636)

* Added legacy name to parse data

* Changed starter projects to use new parse data code

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes (attempt 2/3)

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

src/backend/base/langflow/components/processing/parse_data.py

@@ -10,9 +10,18 @@ class ParseDataComponent(Component):
     description = "Convert Data objects into Messages using any {field_name} from input data."
     icon = "message-square"
     name = "ParseData"
+    metadata = {
+        "legacy_name": "Parse Data",
+    }
 
     inputs = [
-        DataInput(name="data", display_name="Data", info="The data to convert to text.", is_list=True, required=True),
+        DataInput(
+            name="data",
+            display_name="Data",
+            info="The data to convert to text.",
+            is_list=True,
+            required=True,
+        ),
         MultilineInput(
             name="template",
             display_name="Template",

src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json

@@ -134,7 +134,9 @@
             "icon": "message-square",
             "legacy": false,
             "lf_version": "1.0.19.post2",
-            "metadata": {},
+            "metadata": {
+              "legacy_name": "Parse Data"
+            },
             "output_types": [],
             "outputs": [
               {
@@ -179,7 +181,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Data to Message\"\n    description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n    icon = \"message-square\"\n    name = \"ParseData\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True, required=True),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. \"\n            \"It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n            required=True,\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(\n            display_name=\"Message\",\n            name=\"text\",\n            info=\"Data as a single Message, with each input Data separated by Separator\",\n            method=\"parse_data\",\n        ),\n        Output(\n            display_name=\"Data List\",\n            name=\"data_list\",\n            info=\"Data as a list of new Data, each having `text` formatted by Template\",\n            method=\"parse_data_as_list\",\n        ),\n    ]\n\n    def _clean_args(self) -> tuple[list[Data], str, str]:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n        sep = self.sep\n        return data, template, sep\n\n    def parse_data(self) -> Message:\n        data, template, sep = self._clean_args()\n        result_string = data_to_text(template, data, sep)\n        self.status = result_string\n        return Message(text=result_string)\n\n    def parse_data_as_list(self) -> list[Data]:\n        data, template, _ = self._clean_args()\n        text_list, data_list = data_to_text_list(template, data)\n        for item, text in zip(data_list, text_list, strict=True):\n            item.set_text(text)\n        self.status = data_list\n        return data_list\n"
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Data to Message\"\n    description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n    icon = \"message-square\"\n    name = \"ParseData\"\n    metadata = {\n        \"legacy_name\": \"Parse Data\",\n    }\n\n    inputs = [\n        DataInput(\n            name=\"data\",\n            display_name=\"Data\",\n            info=\"The data to convert to text.\",\n            is_list=True,\n            required=True,\n        ),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. \"\n            \"It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n            required=True,\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(\n            display_name=\"Message\",\n            name=\"text\",\n            info=\"Data as a single Message, with each input Data separated by Separator\",\n            method=\"parse_data\",\n        ),\n        Output(\n            display_name=\"Data List\",\n            name=\"data_list\",\n            info=\"Data as a list of new Data, each having `text` formatted by Template\",\n            method=\"parse_data_as_list\",\n        ),\n    ]\n\n    def _clean_args(self) -> tuple[list[Data], str, str]:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n        sep = self.sep\n        return data, template, sep\n\n    def parse_data(self) -> Message:\n        data, template, sep = self._clean_args()\n        result_string = data_to_text(template, data, sep)\n        self.status = result_string\n        return Message(text=result_string)\n\n    def parse_data_as_list(self) -> list[Data]:\n        data, template, _ = self._clean_args()\n        text_list, data_list = data_to_text_list(template, data)\n        for item, text in zip(data_list, text_list, strict=True):\n            item.set_text(text)\n        self.status = data_list\n        return data_list\n"
               },
               "data": {
                 "advanced": false,

src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json

@@ -668,7 +668,9 @@
             "icon": "message-square",
             "legacy": false,
             "lf_version": "1.0.19.post2",
-            "metadata": {},
+            "metadata": {
+              "legacy_name": "Parse Data"
+            },
             "output_types": [],
             "outputs": [
               {
@@ -713,7 +715,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Data to Message\"\n    description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n    icon = \"message-square\"\n    name = \"ParseData\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True, required=True),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. \"\n            \"It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n            required=True,\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(\n            display_name=\"Message\",\n            name=\"text\",\n            info=\"Data as a single Message, with each input Data separated by Separator\",\n            method=\"parse_data\",\n        ),\n        Output(\n            display_name=\"Data List\",\n            name=\"data_list\",\n            info=\"Data as a list of new Data, each having `text` formatted by Template\",\n            method=\"parse_data_as_list\",\n        ),\n    ]\n\n    def _clean_args(self) -> tuple[list[Data], str, str]:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n        sep = self.sep\n        return data, template, sep\n\n    def parse_data(self) -> Message:\n        data, template, sep = self._clean_args()\n        result_string = data_to_text(template, data, sep)\n        self.status = result_string\n        return Message(text=result_string)\n\n    def parse_data_as_list(self) -> list[Data]:\n        data, template, _ = self._clean_args()\n        text_list, data_list = data_to_text_list(template, data)\n        for item, text in zip(data_list, text_list, strict=True):\n            item.set_text(text)\n        self.status = data_list\n        return data_list\n"
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Data to Message\"\n    description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n    icon = \"message-square\"\n    name = \"ParseData\"\n    metadata = {\n        \"legacy_name\": \"Parse Data\",\n    }\n\n    inputs = [\n        DataInput(\n            name=\"data\",\n            display_name=\"Data\",\n            info=\"The data to convert to text.\",\n            is_list=True,\n            required=True,\n        ),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. \"\n            \"It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n            required=True,\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(\n            display_name=\"Message\",\n            name=\"text\",\n            info=\"Data as a single Message, with each input Data separated by Separator\",\n            method=\"parse_data\",\n        ),\n        Output(\n            display_name=\"Data List\",\n            name=\"data_list\",\n            info=\"Data as a list of new Data, each having `text` formatted by Template\",\n            method=\"parse_data_as_list\",\n        ),\n    ]\n\n    def _clean_args(self) -> tuple[list[Data], str, str]:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n        sep = self.sep\n        return data, template, sep\n\n    def parse_data(self) -> Message:\n        data, template, sep = self._clean_args()\n        result_string = data_to_text(template, data, sep)\n        self.status = result_string\n        return Message(text=result_string)\n\n    def parse_data_as_list(self) -> list[Data]:\n        data, template, _ = self._clean_args()\n        text_list, data_list = data_to_text_list(template, data)\n        for item, text in zip(data_list, text_list, strict=True):\n            item.set_text(text)\n        self.status = data_list\n        return data_list\n"
               },
               "data": {
                 "advanced": false,

src/backend/base/langflow/initial_setup/starter_projects/Graph Vector Store RAG.json

@@ -1555,7 +1555,9 @@
             "icon": "message-square",
             "legacy": false,
             "lf_version": "1.1.1",
-            "metadata": {},
+            "metadata": {
+              "legacy_name": "Parse Data"
+            },
             "minimized": false,
             "output_types": [],
             "outputs": [
@@ -1601,7 +1603,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Data to Message\"\n    description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n    icon = \"message-square\"\n    name = \"ParseData\"\n\n    inputs = [\n        DataInput(name=\"data\", display_name=\"Data\", info=\"The data to convert to text.\", is_list=True, required=True),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. \"\n            \"It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n            required=True,\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(\n            display_name=\"Message\",\n            name=\"text\",\n            info=\"Data as a single Message, with each input Data separated by Separator\",\n            method=\"parse_data\",\n        ),\n        Output(\n            display_name=\"Data List\",\n            name=\"data_list\",\n            info=\"Data as a list of new Data, each having `text` formatted by Template\",\n            method=\"parse_data_as_list\",\n        ),\n    ]\n\n    def _clean_args(self) -> tuple[list[Data], str, str]:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n        sep = self.sep\n        return data, template, sep\n\n    def parse_data(self) -> Message:\n        data, template, sep = self._clean_args()\n        result_string = data_to_text(template, data, sep)\n        self.status = result_string\n        return Message(text=result_string)\n\n    def parse_data_as_list(self) -> list[Data]:\n        data, template, _ = self._clean_args()\n        text_list, data_list = data_to_text_list(template, data)\n        for item, text in zip(data_list, text_list, strict=True):\n            item.set_text(text)\n        self.status = data_list\n        return data_list\n"
+                "value": "from langflow.custom import Component\nfrom langflow.helpers.data import data_to_text, data_to_text_list\nfrom langflow.io import DataInput, MultilineInput, Output, StrInput\nfrom langflow.schema import Data\nfrom langflow.schema.message import Message\n\n\nclass ParseDataComponent(Component):\n    display_name = \"Data to Message\"\n    description = \"Convert Data objects into Messages using any {field_name} from input data.\"\n    icon = \"message-square\"\n    name = \"ParseData\"\n    metadata = {\n        \"legacy_name\": \"Parse Data\",\n    }\n\n    inputs = [\n        DataInput(\n            name=\"data\",\n            display_name=\"Data\",\n            info=\"The data to convert to text.\",\n            is_list=True,\n            required=True,\n        ),\n        MultilineInput(\n            name=\"template\",\n            display_name=\"Template\",\n            info=\"The template to use for formatting the data. \"\n            \"It can contain the keys {text}, {data} or any other key in the Data.\",\n            value=\"{text}\",\n            required=True,\n        ),\n        StrInput(name=\"sep\", display_name=\"Separator\", advanced=True, value=\"\\n\"),\n    ]\n\n    outputs = [\n        Output(\n            display_name=\"Message\",\n            name=\"text\",\n            info=\"Data as a single Message, with each input Data separated by Separator\",\n            method=\"parse_data\",\n        ),\n        Output(\n            display_name=\"Data List\",\n            name=\"data_list\",\n            info=\"Data as a list of new Data, each having `text` formatted by Template\",\n            method=\"parse_data_as_list\",\n        ),\n    ]\n\n    def _clean_args(self) -> tuple[list[Data], str, str]:\n        data = self.data if isinstance(self.data, list) else [self.data]\n        template = self.template\n        sep = self.sep\n        return data, template, sep\n\n    def parse_data(self) -> Message:\n        data, template, sep = self._clean_args()\n        result_string = data_to_text(template, data, sep)\n        self.status = result_string\n        return Message(text=result_string)\n\n    def parse_data_as_list(self) -> list[Data]:\n        data, template, _ = self._clean_args()\n        text_list, data_list = data_to_text_list(template, data)\n        for item, text in zip(data_list, text_list, strict=True):\n            item.set_text(text)\n        self.status = data_list\n        return data_list\n"
               },
               "data": {
                 "_input_type": "DataInput",